NVIDIA RTX 6000D
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA RTX 6000D Specifications
GPU Core
Shader units and compute resources
The NVIDIA RTX 6000D GPU core specifications define its raw processing power for graphics and compute workloads. Shading units (also called CUDA cores, stream processors, or execution units depending on manufacturer) handle the parallel calculations required for rendering. TMUs (Texture Mapping Units) process texture data, while ROPs (Render Output Units) handle final pixel output. Higher shader counts generally translate to better GPU benchmark performance, especially in demanding games and 3D applications.
RTX 6000D Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the RTX 6000D's performance in GPU benchmarks and real-world gaming. The base clock represents the minimum guaranteed frequency, while the boost clock indicates peak performance under optimal thermal conditions. Memory clock speed affects texture loading and frame buffer operations. The RTX 6000D by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's RTX 6000D Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The RTX 6000D's memory capacity determines how well it handles high-resolution textures and multiple displays. Memory bandwidth, measured in GB/s, affects how quickly data moves between the GPU and VRAM. Higher bandwidth improves performance in memory-intensive scenarios like 4K gaming. The memory bus width and type (GDDR6, GDDR6X, HBM) significantly influence overall GPU benchmark scores.
RTX 6000D by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the RTX 6000D, reducing the need to fetch data from slower VRAM. L1 and L2 caches store frequently accessed data close to the compute units. AMD's Infinity Cache (L3) dramatically increases effective bandwidth, improving GPU benchmark performance without requiring wider memory buses. Larger cache sizes help maintain high frame rates in memory-bound scenarios and reduce power consumption by minimizing VRAM accesses.
RTX 6000D Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA RTX 6000D against other graphics cards. FP32 (single-precision) performance, measured in TFLOPS, indicates compute capability for gaming and general GPU workloads. FP64 (double-precision) matters for scientific computing. Pixel and texture fill rates determine how quickly the GPU can render complex scenes. While real-world GPU benchmark results depend on many factors, these specifications help predict relative performance levels.
RTX 6000D Ray Tracing & AI
Hardware acceleration features
The NVIDIA RTX 6000D includes dedicated hardware for ray tracing and AI acceleration. RT cores handle real-time ray tracing calculations for realistic lighting, reflections, and shadows in supported games. Tensor cores (NVIDIA) or XMX cores (Intel) accelerate AI workloads including DLSS, FSR, and XeSS upscaling technologies. These features enable higher visual quality without proportional performance costs, making the RTX 6000D capable of delivering both stunning graphics and smooth frame rates in modern titles.
Blackwell 2.0 Architecture & Process
Manufacturing and design details
The NVIDIA RTX 6000D is built on NVIDIA's Blackwell 2.0 architecture, which defines how the GPU processes graphics and compute workloads. The manufacturing process node affects power efficiency, thermal characteristics, and maximum clock speeds. Smaller process nodes pack more transistors into the same die area, enabling higher performance per watt. Understanding the architecture helps predict how the RTX 6000D will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA RTX 6000D determine PSU requirements and thermal management needs. TDP (Thermal Design Power) indicates the heat output under typical loads, guiding cooler selection. Power connector requirements ensure adequate power delivery for stable operation during demanding GPU benchmarks. The suggested PSU wattage accounts for the entire system, not just the graphics card. Efficient power delivery enables the RTX 6000D to maintain boost clocks without throttling.
RTX 6000D by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA RTX 6000D are critical for case compatibility. Card length, height, and slot width determine whether it fits in your chassis. The PCIe interface version affects bandwidth for communication with the CPU. Display outputs define monitor connectivity options, with modern cards supporting multiple high-resolution displays simultaneously. Verify these specifications against your case and motherboard before purchasing to ensure a proper fit.
NVIDIA API Support
Graphics and compute APIs
API support determines which games and applications can fully utilize the NVIDIA RTX 6000D. DirectX 12 Ultimate enables advanced features like ray tracing and variable rate shading. Vulkan provides cross-platform graphics capabilities with low-level hardware access. OpenGL remains important for professional applications and older games. CUDA (NVIDIA) and OpenCL enable GPU compute for video editing, 3D rendering, and scientific applications. Higher API versions unlock newer graphical features in GPU benchmarks and games.
RTX 6000D Product Information
Release and pricing details
The NVIDIA RTX 6000D is manufactured by NVIDIA as part of their graphics card lineup. Release date and launch pricing provide context for comparing GPU benchmark results with competing products from the same era. Understanding the product lifecycle helps evaluate whether the RTX 6000D by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About NVIDIA RTX 6000D
NVIDIA’s RTX 6000D arrives as a workstation-oriented member of the GeForce 60-series, built on the GB202 chip and Blackwell 2.0 architecture. Positioned with a 50th percentile ranking against all GPUs and an average benchmark score of 0 in the database, this card presents a unique profile that defies simple performance categorization, demanding a closer look at its raw specifications rather than relying on aggregated metrics.
Benchmark Performance
The absence of recorded benchmark scores in the data means the RTX 6000D’s performance must be inferred from its architectural capabilities rather than direct comparisons. With 19,968 shading units, 624 texture mapping units, and 192 raster output pipelines, the raw compute resources are substantial. The FP32 throughput of 97.04 TFLOPS indicates a card designed for massive parallel workloads, while the FP16 performance at an identical 97.04 TFLOPS (1:1 ratio) suggests the architecture prioritizes consistency across precision formats, which is unusual for consumer-focused cards that often halve FP16 rates.
The texture rate of 1,516.3 GTexel/s and pixel rate of 466.6 GPixel/s further underscore a design optimized for high-fill-rate scenarios. These figures align with a GPU that is not merely gaming-oriented but engineered for professional rendering and compute tasks. Since no nearest rivals are listed with deltaPct values, the data cannot quantify how much faster or slower this card is compared to competitors. The percentile rank of 50 is a neutral midpoint, but with an average score of zero, this ranking is likely based on specification presence rather than measured results.
Clock speeds show a base of 1590 MHz and a boost of 2430 MHz, a relatively wide boost window that suggests robust thermal and power headroom for sustained operation. The 5 nm process node from TSMC, housing 92,200 million transistors on a 750 mm² die, yields a transistor density of 122.9 million per square millimeter. This density implies efficient packing of compute units, though the lack of benchmark data prevents any statement on real-world execution efficiency. In essence, the silicon is provisioned for extreme throughput, but verification through actual workloads remains absent from the records.
Power and Cooling
The RTX 6000D carries a TDP of 600 W, a figure that demands serious power delivery infrastructure. The recommended PSU is 1000 W, which provides a 400 W margin above the card’s draw, likely accounting for other system components and transient power spikes. Power is supplied via a single 16-pin connector, a modern standard that consolidates power delivery into one cable, simplifying installation but requiring a compatible power supply with native or adapter support.
Cooling is handled by a dual-slot design, measuring 304 mm in length (12 inches), 137 mm in height (5.4 inches), and 40 mm in width (1.6 inches). The dual-slot footprint is typical for high-TDP workstation cards, allowing for a substantial heatsink and fan assembly to dissipate 600 W of heat. The boost clock of 2430 MHz will only be sustainable if the cooling solution can manage the thermal load; the data does not specify fan noise levels or cooling efficiency, but the physical dimensions suggest a large aluminum fin stack paired with high-static-pressure fans is necessary to maintain performance under sustained load. Users must verify chassis clearance, as the 304 mm length could be tight in smaller cases, and the 16-pin connector requires the power supply to be positioned within cable reach.
Memory Subsystem
Memory capacity is the standout feature here: 84 GB of GDDR7, a size that dwarfs typical consumer offerings. The bus width is 448 bit, which is narrower than what might be expected for such a large memory pool, but the GDDR7 type compensates with a memory clock of 1750 MHz, translating to 28 Gbps effective. The resulting bandwidth is 1.57 TB/s, a figure that ensures the massive VRAM can be fed with data at a rate suitable for high-resolution textures and large datasets.
At high resolutions like 4K or beyond, the 84 GB capacity means virtually no texture or geometry data needs to stream from system memory, eliminating potential stutter from VRAM overflow. The 1.57 TB/s bandwidth is critical for 8K rendering or multi-display setups where pixel throughput demands are extreme. The 448-bit bus, while not the widest possible, is optimized for the GDDR7’s high data rate, achieving a balance between interface complexity and raw bandwidth. For workloads such as 3D scene compositing, scientific visualization, or AI training with large batch sizes, the combination of 84 GB and 1.57 TB/s allows entire datasets to reside on the GPU, avoiding PCIe transfers that would bottleneck performance. This memory subsystem is clearly not aimed at gaming, where 16-24 GB is often sufficient, but at professional tasks where memory-bound operations dominate.
How It Compares
The fact pack lists no nearest rivals, meaning the database currently has no comparative scored entries for this specific SKU. This absence is notable: it suggests the RTX 6000D occupies a niche with no direct competitors in the benchmark database at this time. Without deltaPct values or rival names, any comparison must be qualitative based on the card’s own specifications. Its predecessor is listed as Workstation Ada, implying a generational leap in memory and architecture, but specific performance deltas are not provided. The RTX 6000D’s position is thus defined by its own spec sheet rather than head-to-head metrics. The lack of rivals could indicate that the card is so new to the database that no benchmarks have been recorded, or that its unique specification set (84 GB memory, 600 W TDP) places it in a category without direct peers. Users should treat the 50th percentile as a placeholder until actual benchmark data populates the database.
Ray Tracing and Feature Set
Ray tracing capabilities are anchored by 156 RT cores, a substantial count that indicates serious hardware acceleration for ray-traced workloads. The tensor core count is 624, which at a 1:1 ratio with texture mapping units, suggests a heavy emphasis on AI-driven tasks like denoising and deep learning super sampling. The FP16 performance at 97.04 TFLOPS is identical to FP32, which is beneficial for tensor operations that often utilize reduced precision.
API support is comprehensive: DirectX 12 Ultimate (12_2) ensures full features for modern games and applications, including mesh shaders and variable rate shading. OpenGL 4.6 provides legacy compatibility for professional software, and Vulkan 1.4 offers cross-platform low-overhead access. The PCIe 5.0 x16 interface doubles the bandwidth of PCIe 4.0, which is essential for feeding the GPU’s compute units and transferring data to and from the 84 GB memory pool. Display output is handled by 4x DisplayPort 2.1b, which supports very high refresh rates and resolutions on multiple monitors. The combination of 156 RT cores and 624 tensor cores indicates the card is built for hybrid rendering pipelines that mix rasterization, ray tracing, and AI acceleration, but the lack of benchmark data means no statements can be made on how these cores perform in practice.
Who Should Consider It
Given the 84 GB GDDR7 memory and 1.57 TB/s bandwidth, this card is for professionals handling datasets that exceed what consumer GPUs can store. The 97.04 TFLOPS FP32 and FP16 performance suits compute-heavy workloads like finite element analysis, fluid dynamics simulations, or large-scale machine learning model training, where the 1:1 FP16 rate is a distinct advantage. The 600 W TDP and 1000 W PSU recommendation indicate that this is not a casual upgrade; users need robust power delivery and cooling infrastructure.
For 3D artists and animators working with 8K textures or massive scene files, the 84 GB capacity eliminates out-of-core memory management. The 4x DisplayPort 2.1b outputs support multi-monitor setups for video editing or financial trading displays, though the card’s compute focus is clear. The ray tracing cores and tensor cores make it viable for real-time architectural visualization or product design reviews, where ray-traced reflections and AI-accelerated denoising improve visual fidelity. However, with no benchmark scores, gamers must be cautious: the 50th percentile ranking and zero average score do not confirm gaming performance, and the 600 W power draw is excessive for typical gaming loads. This is a tool for those who know their workflows require massive memory and compute, not for general consumers.
FAQ
Q: What is the maximum memory bandwidth of the RTX 6000D?
A: The memory bandwidth is 1.57 TB/s, achieved with 84 GB of GDDR7 memory on a 448-bit bus, with memory clocked at 1750 MHz (28 Gbps effective).
Q: How many RT and tensor cores does the card have?
A: It has 156 RT cores and 624 tensor cores, with tensor cores matching the count of texture mapping units.
Q: What power supply is recommended for this card?
A: A 1000 W PSU is recommended, and the card itself has a TDP of 600 W, requiring a single 16-pin power connector.
Q: Does the card support DirectX 12 Ultimate?
A: Yes, it supports DirectX 12 Ultimate (12_2), along with OpenGL 4.6 and Vulkan 1.4.
Q: What is the FP32 performance in TFLOPS?
A: The FP32 performance is 97.04 TFLOPS, with FP16 also at 97.04 TFLOPS (1:1 ratio).
Q: What is the physical size of the card?
A: It is a dual-slot card measuring 304 mm in length (12 inches), 137 mm in height (5.4 inches), and 40 mm in width (1.6 inches).
Detailed benchmark scores and charts for the NVIDIA RTX 6000D are below.
Benchmark Scores
3dmark_3dmark_steel_nomad_dx12Source
3DMark Steel Nomad is the latest GPU benchmark running at native 4K with DirectX 12. It's roughly 3x more demanding than Time Spy, testing NVIDIA RTX 6000D with cutting-edge rendering techniques. The benchmark uses state-of-the-art graphics technologies to stress modern hardware. Scores accurately predict NVIDIA RTX 6000D performance in demanding AAA games at 4K resolution.
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA RTX 6000D handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms. Higher scores benefit applications that leverage GPU acceleration for non-graphics workloads.
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